{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4657c2c2-b77b-4f5e-a219-3d84317d1f4c",
   "metadata": {},
   "source": [
    "### 常见的图标类型\n",
    "\n",
    "在数据可视化中，不同类型的图表适用于不同的数据场景。通过合理选择图表类型，可以更清晰地展示数据之间的关系或分布情况。接下来，我们将深入讲解几种常见的图表类型，适用场景以及如何在 Pandas 中使用它们。\n",
    "\n",
    "------\n",
    "\n",
    "### 1. **折线图（Line Plot）**\n",
    "\n",
    "- **适用场景**：\n",
    "  - 折线图是用来展示数据随时间的变化趋势，特别适用于时间序列数据或者数据的动态变化。例如，可以用折线图来展示某公司的月度销售额、股市的日常波动、气温变化等。\n",
    "  - 当我们需要观察数据趋势，折线图能够清晰地显示出数据的上升、下降、波动等特点。\n",
    "- **实现方法**：使用 `DataFrame.plot.line()` 方法绘制折线图。\n",
    "\n",
    "#### 示例代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b96b95e4-6802-411a-b665-be1f5c1661ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 创建一个包含月份和销售数据的 DataFrame\n",
    "data = {\n",
    "    'Month': ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],\n",
    "    'Sales': [1500, 1800, 2500, 2300, 3000, 3500, 4000, 3700, 3800, 4200, 4500, 5000]\n",
    "}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 绘制折线图\n",
    "df.plot.line(x='Month', y='Sales', marker='o', linestyle='-', color='b', title='Monthly Sales Trend')\n",
    "\n",
    "# 设置标题和标签\n",
    "plt.title('Monthly Sales Trend', fontsize=16, color='purple')\n",
    "plt.xlabel('Month', fontsize=14)\n",
    "plt.ylabel('Sales Amount', fontsize=14)\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "443d3074-87ab-4514-82dd-fb5e3a2c8705",
   "metadata": {},
   "source": [
    "#### 解释：\n",
    "\n",
    "- **适用场景**：展示销售额随着月份的变化趋势。\n",
    "\n",
    "- 参数\n",
    "\n",
    "  ：\n",
    "\n",
    "  - `x='Month'` 和 `y='Sales'`：指定横坐标和纵坐标。\n",
    "  - `marker='o'`：在每个数据点上标记圆点。\n",
    "  - `linestyle='-'`：使用实线连接数据点。\n",
    "  - `color='b'`：设置线条颜色为蓝色。\n",
    "  - `title`：设置图表标题，帮助读者理解图表的主要信息。\n",
    "\n",
    "------\n",
    "\n",
    "### 2. **柱状图（Bar Plot）**\n",
    "\n",
    "- **适用场景**：\n",
    "  - 柱状图通常用于显示不同类别或组别之间的对比，尤其是在处理离散数据时非常有效。它适合展示各类别的数量、频率或其他测量值的差异。\n",
    "  - 例如，柱状图可以用来对比不同地区的销售额、不同产品的销量、不同时间段的绩效等。\n",
    "- **实现方法**：使用 `DataFrame.plot.bar()` 绘制垂直柱状图，使用 `DataFrame.plot.barh()` 绘制水平柱状图。\n",
    "\n",
    "#### 示例代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b2257852-621c-4a16-8c17-86001bf39ebb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建一个包含地区和销售数据的 DataFrame\n",
    "data = {\n",
    "    'Region': ['North', 'South', 'East', 'West'],\n",
    "    'Sales': [1500, 2500, 2000, 1800]\n",
    "}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 绘制垂直柱状图\n",
    "df.plot.bar(x='Region', y='Sales', color='green', title='Sales by Region')\n",
    "\n",
    "# 绘制水平柱状图\n",
    "df.plot.barh(x='Region', y='Sales', color='purple', title='Sales by Region')\n",
    "\n",
    "# 设置标题和标签\n",
    "plt.title('Sales by Region', fontsize=16, color='purple')\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76054f17-e0c6-4b2b-93c8-62594b1eb7db",
   "metadata": {},
   "source": [
    "#### 解释：\n",
    "\n",
    "- **适用场景**：用于展示不同地区的销售对比。\n",
    "\n",
    "- 参数\n",
    "\n",
    "  ：\n",
    "\n",
    "  - `x='Region'`：指定类别为地区。\n",
    "  - `y='Sales'`：指定数值为销售额。\n",
    "  - `color='green'` 和 `color='purple'`：设置柱状图的颜色。\n",
    "  - `title`：设置图表的标题，帮助读者快速理解图表内容。\n",
    "\n",
    "------\n",
    "\n",
    "### 3. **散点图（Scatter Plot）**\n",
    "\n",
    "- **适用场景**：\n",
    "  - 散点图用于展示两个变量之间的关系，适合分析变量之间的相关性。例如，散点图可以用于分析身高与体重之间的关系，气温与销售额之间的关系等。\n",
    "  - 如果数据呈现某种线性或非线性关系，散点图可以帮助我们直观地看到这一趋势。\n",
    "- **实现方法**：使用 `DataFrame.plot.scatter()` 方法。\n",
    "\n",
    "#### 示例代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cb437eb7-0a63-47fe-a4d6-b3c51a983024",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建一个包含身高和体重数据的 DataFrame\n",
    "data = {\n",
    "    'Height': [150, 160, 170, 180, 190],\n",
    "    'Weight': [50, 60, 65, 75, 85]\n",
    "}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 绘制散点图\n",
    "df.plot.scatter(x='Height', y='Weight', color='red', title='Height vs Weight')\n",
    "\n",
    "# 设置标题和标签\n",
    "plt.title('Height vs Weight', fontsize=16, color='purple')\n",
    "plt.xlabel('Height (cm)', fontsize=14)\n",
    "plt.ylabel('Weight (kg)', fontsize=14)\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91ff1d16-9405-4f02-b75c-f06e2f1d13e5",
   "metadata": {},
   "source": [
    "#### 解释：\n",
    "\n",
    "- **适用场景**：分析身高和体重之间的相关性。\n",
    "\n",
    "- 参数\n",
    "\n",
    "  ：\n",
    "\n",
    "  - `x='Height'` 和 `y='Weight'`：指定要比较的两个变量。\n",
    "  - `color='red'`：设置点的颜色。\n",
    "  - `title`：设置图表标题，帮助读者理解图表的主旨。\n",
    "\n",
    "------\n",
    "\n",
    "### 4. **直方图（Histogram）**\n",
    "\n",
    "- **适用场景**：\n",
    "  - 直方图用于展示数据的分布情况，尤其适用于查看数据的频率分布。例如，可以用直方图来查看一组考试成绩的分布、收入的分布等。\n",
    "  - 直方图能帮助我们识别数据的集中趋势、偏态以及是否存在异常值。\n",
    "- **实现方法**：使用 `DataFrame.plot.hist()` 方法。\n",
    "\n",
    "#### 示例代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "48fcdedc-3185-48ad-9714-1c0532c82d91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# 创建一个包含随机数据的 DataFrame\n",
    "data = {'Value': np.random.randn(1000)}  # 生成正态分布数据\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 绘制直方图\n",
    "df.plot.hist(bins=30, alpha=0.5, color='blue', title='Distribution of Random Values')\n",
    "\n",
    "# 设置标题和标签\n",
    "plt.title('Distribution of Random Values', fontsize=16, color='purple')\n",
    "plt.xlabel('Value', fontsize=14)\n",
    "plt.ylabel('Frequency', fontsize=14)\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "502b4be5-f97b-47c5-adca-d8645197df4c",
   "metadata": {},
   "source": [
    "#### 解释：\n",
    "\n",
    "- **适用场景**：展示数据的分布情况。\n",
    "\n",
    "- 参数\n",
    "\n",
    "  ：\n",
    "\n",
    "  - `bins=30`：指定直方图的分箱数目。\n",
    "  - `alpha=0.5`：设置透明度，使图形的底部部分不被遮挡。\n",
    "  - `color='blue'`：设置直方图的颜色。\n",
    "  - `title`：设置标题，帮助读者理解直方图展示的内容。\n",
    "\n",
    "------\n",
    "\n",
    "### 5. **饼图（Pie Chart）**\n",
    "\n",
    "- **适用场景**：\n",
    "  - 饼图用于展示各部分占整体的比例，常用于显示组成部分的相对比重。例如，市场份额、各部门预算占比、人口分布等。\n",
    "  - 饼图可以非常直观地展示数据的各个部分占比，因此适合用于比例分析。\n",
    "- **实现方法**：使用 `DataFrame.plot.pie()` 方法。\n",
    "\n",
    "#### 示例代码："
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44c6824f-750e-4aa3-9789-7409af4d6ae5",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "37017974-f251-49ea-8e5b-a13c7b626bc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "data = {\n",
    "    'Region': ['North', 'South', 'East', 'West'],\n",
    "    'Sales': [1500, 2500, 2000, 1800]\n",
    "}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 绘制饼图\n",
    "df.plot.pie(y='Sales', labels=df['Region'], autopct='%1.1f%%', title='Sales Distribution by Region')\n",
    "\n",
    "# 设置标题和标签\n",
    "plt.title('Sales Distribution by Region', fontsize=16, color='purple')\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6adf304d-07a9-46e5-9949-0bd85904ffab",
   "metadata": {},
   "source": [
    "#### 解释：\n",
    "\n",
    "- **适用场景**：展示销售额在各地区之间的占比。\n",
    "\n",
    "- 参数\n",
    "\n",
    "  ：\n",
    "\n",
    "  - `y='Sales'`：指定饼图要展示的数据列。\n",
    "  - `labels=df['Region']`：为每个饼图扇区指定标签。\n",
    "  - `autopct='%1.1f%%'`：显示每个扇区的百分比。\n",
    "  - \n",
    "\n",
    "`title`：设置标题，帮助读者理解饼图的内容。\n",
    "\n",
    "------\n",
    "\n",
    "### 6. **箱线图（Box Plot）**\n",
    "\n",
    "- **适用场景**：\n",
    "  - 箱线图用于展示数据的分布情况，突出中位数、四分位数以及异常值。常用于分析多组数据的分布，发现数据的离群点和变异性。\n",
    "  - 箱线图非常适合用于数据预处理阶段，特别是在比较不同组数据分布时。\n",
    "- **实现方法**：使用 `DataFrame.plot.box()` 方法。\n",
    "\n",
    "#### 示例代码："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2b8d0d0e-7ea7-4990-83e4-283433d77f02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建一个包含不同区域销售数据的 DataFrame\n",
    "data = {\n",
    "    'North': [1500, 1700, 1600, 1400, 1550],\n",
    "    'South': [2500, 2600, 2300, 2400, 2500],\n",
    "    'East': [2000, 2100, 1900, 2200, 2050],\n",
    "    'West': [1800, 1700, 1600, 1900, 1850]\n",
    "}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 绘制箱线图\n",
    "df.plot.box(title='Sales Distribution by Region')\n",
    "\n",
    "# 设置标题和标签\n",
    "plt.title('Sales Distribution by Region', fontsize=16, color='purple')\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "774817cd-dfe2-4fc7-8123-555b4ed015c1",
   "metadata": {},
   "source": [
    "#### 解释：\n",
    "\n",
    "- **适用场景**：展示不同地区销售数据的分布情况。\n",
    "\n",
    "- 参数\n",
    "\n",
    "  - `title`：设置图表的标题，帮助读者理解箱线图展示的内容。\n",
    "\n",
    "------\n",
    "\n",
    "通过以上介绍，我们展示了如何使用 Pandas 绘制不同类型的图表。每种图表都有其特定的应用场景：\n",
    "\n",
    "- **折线图**：展示数据随时间的变化趋势。\n",
    "- **柱状图**：对比不同类别、地区或时间段的数据。\n",
    "- **散点图**：分析两个变量之间的关系，查看其相关性。\n",
    "- **直方图**：展示数据的分布，识别数据的偏态和异常值。\n",
    "- **饼图**：展示各部分占总体的比例，适用于组成部分的比较。\n",
    "- **箱线图**：展示数据的分布、异常值及其统计特征，适合多组数据的对比。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef074b5c-2d90-4eda-9ca1-7a9bf0830f7a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
